Pillow Lab: people - Jonathan Pillow
pillowlab.princeton.edu
Principal Investigator. Jonathan Pillow Jonathan is an associate professor in the Princeton Neuroscience Institute (PNI) and Department of Psychology, with an affiliation to the Center for Statistics & Machine Learning. He received a Ph.D. in neural science from NYU (supervised by Eero Simoncelli), and was a postdoc at the ...
Publications
cs.stanford.edu
Sparse dependent Bayesian structure learning. Anqi Wu, Mijung Park, Oluwasanmi Koyejo, and Jonathan Pillow Advances in Neural Information Processing ...
Advances in Neural Information Processing Systems 16: Proceedings of...
books.google.de
0) -* 50 time (ms) 100 Figure 1: Simulated responses Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model Jonathan Pillow, ...
Bayesian Brain: Probabilistic Approaches to Neural Coding - Google...
books.google.de
A Bayesian approach can contribute to an understanding of the brain on multiple levels, by giving normative predictions about how an ideal sensory system...
Advances in Neural Information Processing Systems 16: ...
books.google.co.uk
L - NLIF model LNP model P ( spike ) Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model Jonathan Pillow, Liam Paninski, ...
Biases in White Noise Analysis Due to Non-Poisson Spike Generation by...
papers.ssrn.com
White noise analysis methods for receptive field characterization typically ignore the dynamics of neural spike generation (i.e., they assume Poisson spike gene
Fully Bayesian inference for neural models with negative ...
proceedings.neurips.cc
von J Pillow · · Zitiert von: 96 — Authors. Jonathan Pillow, James Scott. Abstract. Characterizing the information carried by neural populations in the brain requires accurate statistical ... › hash
Neural characterization in partially observed populations of spiking...
papers.nips.cc
Authors. Jonathan Pillow, Peter Latham. Abstract. Abstract Unavailable. This website is beta: Report an Issue ». Do not remove: This comment is monitored to ...
Jonathan Pillow - Tutorial: Statistical models for neural data - Part www.youtube.com › watch
www.youtube.com
· Cosyne Tutorial session sponsored by the Simons Foundation Jonathan Pillow ...Dauer: 1:50:31
Gepostet:
Cosyne Tutorial - Statistical models for neural data - Jonathan...
www.bilibili.com
· Cosyne Tutorial - Statistical models for neural data - Jonathan Pillow. 21 播放 · 0弹幕 Gepostet:
Scalable models for high-dimensional neural data | A COSYNE
scalablemodels.wordpress.com
... Evan Archer (), The University of Texas at Austin Jonathan Pillow (.edu), The University of Texas at Austin Description ...
Alle Infos zum Namen "Jonathan Pillow"
Neural Coding: Integrate-and-Fire Models of Single and Multi-Neuron...
slideplayer.com
Neural Coding: Integrate-and-Fire Models of Single and Multi-Neuron Responses Jonathan Pillow HHMI and NYU http://www.cns.nyu.edu/~pillow Oct 5, Course.
Video | Mathematical Biosciences Institute
mbi.osu.edu
Videos by Jonathan Pillow. video photo · Optimality and neural codes: Bayesian inference meets Barlow's efficient coding hypothesis. Jonathan Pillow. Barlow's ...
Project 5: Analysis - Jonathan Pillow - Grantomegrantome.com › NIH › U19-NS
grantome.com
Project 5, Analysis and Modeling of Neural Data Working memory, the ability to temporarily hold multiple pieces of information in mind for manipulation, is cent...
A general recurrent state space framework for modeling ...
proceedings.mlr.press
von D Zoltowski · · Zitiert von: 22 — A general recurrent state space framework for modeling neural dynamics during decision-makingDavid Zoltowski, Jonathan Pillow, Scott LindermanAn op... › ...
Abstract: Neural coding and the statistical modeling of ...
www.cns.nyu.edu
Neural coding and the statistical modeling of neuronal responses. Jonathan Pillow. PhD thesis, Center for Neural Science, New York University, › makeAbs
Estimating models of neural response from spike trains Jonathan...
slideum.com
Free library of english study presentation. Share and download educational presentations online.
Neural Modeling and Data Analysis
bactra.org
... Liam Paninski, Jonathan Pillow, and Jeremy Lewi, "Statistical models for neural encoding, decoding, and optimal stimulus design", to appear ...
Probing the Relationship Between Archive ouverte HAL
hal.archives-ouvertes.fr
von A Valente · · Zitiert von: 2 — Adrian Valente, Srdjan Ostojic, Jonathan Pillow. Probing the Relationship Between Latent Linear Dynamical Systems and Low-Rank Recurrent Neural Network ... › ha...
Statistical models for neural encoding, decoding, and optimal ...
pubmed.ncbi.nlm.nih.gov
von L Paninski · · Zitiert von: 302 — Authors. Liam Paninski , Jonathan Pillow, Jeremy Lewi. Affiliation. 1 Department of Statistics and Center for Theoretical Neuroscience, Columbia University, ... › ...
CRCNS Detailed multi-neuron coding of decisions in parietal cortex -...
grantome.com
Intellectual Merit: Perceptual decision-making is an essential cognitive capability. It requires neural circuits that can accumulate sensory evidence, combine...
Time-rescaling Methods for the Estimation by Jonathan @VideoLectures
www.quizover.com
... on the statistical modeling of neural responses has focused on modulated renewal processes in which the spike rate by Jonathan Pillow @VideoLectures. net.
NSF Award Search: Award # CAREER: Unlocking the neural code...
www.nsf.gov
divider line. Awarded Amount to Date: $387, divider line. Investigator(s):, Jonathan Pillow (Principal Investigator).
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